Triple
T15968839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enger |
E387266
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Langueux |
E1170099
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Langueux | Statement: [Enger, twinTown, Langueux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langueux Context triple: [Enger, twinTown, Langueux]
-
A.
Langueux
chosen
Langueux is a commune in the Côtes-d'Armor department of Brittany in northwestern France, known for its coastal location near Saint-Brieuc and its natural bay landscapes.
-
B.
Longueau
Longueau is a commune in northern France that forms part of the suburban area of Amiens in the Somme department.
-
C.
Rothière
Rothière is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
D.
d’Étanges
d’Étanges is the aristocratic family name borne by Julie d’Étanges, a central character in Goethe’s epistolary novel "The Sorrows of Young Werther."
-
E.
Éveux
Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.